As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: In the traditional speed adaptive full-order observers of induction motor (IM), since the actual value of rotor flux is unattainable, the flux error term is ...

This repository contains a simple implementation of a linear programming solver, in particular for the primal and dual simplex method in tableau form and the application of Gomory's cut in case of ...

Abstract: In distribution systems with growing distributed energy resources, accurate estimation of network parameters is crucial to feeder modeling, monitoring and management. Al-though existing ...